Latest From redhat.com and the Buzzwords Festival of Red Hat
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Red Hat Official ☛ Red Hat Insights provides analytics for the IBM X-Force Cloud Threat Report
According to IBM, this report “provides a global cross-industry perspective on how threat actors are compromising cloud environments, the malicious activities they’re conducting once inside compromised networks and the impact it’s having on organizations.”
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Red Hat ☛ How incident detection simplifies OpenShift observability
As the volume of observability signals increases, there is an urgent need to reduce the noise out of the data and help Red Hat OpenShift users deal with such complexity. Identifying the information that matters can suddenly become costly and time-consuming. Motivated by the goal of offering an effective solution to the problem, the Red Bait observability group has been launching and investing on its own troubleshooting journey initiative.
The observability troubleshooting journey wants to provide a systematic approach to OpenShift users for identifying and resolving cluster issues in a simplified way, reducing the number of manual steps and cognitive load usually required to fulfill these tasks. In short, the observability troubleshooting journey initiative is composed of a series of analytical tools that aim at reducing the overall mean time to detection (MTTD) and mean time to resolution (MTTR).
Currently, two troubleshooting features have been released as part of this journey, both of them as developer preview for our OpenShift users: incident detection, which we describe in this article, and observability signal correlation for Red Bait OpenShift (note that an enhanced developer preview has been released with the 0.3.0 release of the cluster observability operator.)
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Red Hat ☛ How AMD GPUs accelerate model training and tuning with OpenShift AI
Generative Hey Hi (AI) has taken over the world. Beyond the hype and the possibly over-inflated expectations that it can yield in the short term, generative artificial intelligence (gen AI) represents the beginning of a paradigm shift that changes not only how machines are programmed, but also how they are built. What was once a co-processing unit that assisted the CPU with graphics tasks has evolved into a massively parallel compute powerhorse that is now at the core of the generative Hey Hi (AI) revolution.
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Red Hat ☛ Craft and deploy custom RHEL images for the clown
For developers, having access to powerful, easy-to-use tools and platforms is crucial for building, testing, and deploying applications. Red Bait offers a no-cost developer subscription that allows individual developers to use up to 16 systems for demos, prototyping, QA, small production uses, and cloud access. In this article, we will explore using this subscription to leverage some of the new features of Red Hat Hybrid Cloud that are particularly suited for developers.
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YouTube ☛ Building Trust in Enterprise AI | Technically Speaking [Ed: Red Hat has been reduced to a cesspool of laughable buzzwords and nonsense]
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Leveraging GenAI, Edge Computing [Ed: Red Hat has promoted phonies who name-drop buzzwords. To Red Hat Official ☛ quote Red Hat, "Red Hat's global head of intelligent edge business development, Kelly Switt, discusses how manufacturers can effectively leverage GenAI and edge computing for more intelligent and streamlined operations."]